K-12 Network for Advancing AI Literacy

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Empowering K-12 Systems to Shape AI Literacy

K-12 Network for Advancing AI Literacy

Whether your district is starting up or scaling up, the Lawrence Hall of Science at the University of California, Berkeley, meets you exactly where you are. Join a trusted network where your team co-designs strategies that work for real K-12 systems and real K-12 classrooms.

Why Join Our K-12 Network?

Don’t navigate the complex landscape of Artificial Intelligence alone. We help you move beyond reactive, one-size-fits-all approaches.

Move Beyond DIY: Avoid the stress of juggling vendor webinars, one-off pilots, and reactive tool roll-outs in isolation.
Context-Specific Solutions: Generic, off-the-shelf AI approaches often ignore your unique district context and equity priorities.
Purposeful Integration: Build educator, leader, and district capacity to integrate AI into teaching and learning with confidence, equity, and purpose.
District Capacity: Leverage a focused, networked approach that blends peer-learning models with hands-on consultation and policy co-design.

Upcoming Workshops

AI & Education

What is AI Literacy? Building a Foundation and Readiness for K-12 Systems

Jun 17, 2026

10:00 AM - 11:00 AM PT

This session explores the essential components of AI literacy and provides guidance for K-12 leaders and educators on building a clear foundation and a shared understanding of AI literacy’s role in modern education.

AI & Education

Computational Thinking and AI Sensemaking in the Classroom

Jun 24, 2026

10:00 AM - 11:00 AM PT

Move from theory to practice with instructional strategies for integrating computational thinking and AI sensemaking directly into K-12 classroom environments.

AI & Education

Equity, Ethics, and Opportunities for AI in K-12 Systems

Jun 25, 2026

10:00 AM - 11:00 AM PT

This session examines how to integrate AI responsibly in schools, centering equity and ethics to ensure technology strengthens rather than undermines trust and community.

AI & Education

From Vision to Action: Operationalizing District Capacity for AI Literacy

Jun 30, 2026

10:00 AM - 11:00 AM PT

Discover practical strategies for moving from a high-level AI vision to concrete, district-wide implementation that builds long-term capacity and sustainable impact.

Our Program: Features & Impact

Our virtual, live learning sessions are designed to provide maximum value for busy district leaders, educators and teams.

Program Feature	Purpose	Impact	Sessions
Superintendent/Exec. Learning Sessions (Quarterly, virtual, 60 minutes)	Engage in strategic planning, policy guidance, and equity-focused visioning.	Position your district as a K-12 thought-leader and align policy to practice.	11 a.m.–12 p.m. PT • 09/23/26 • 12/09/26 • 03/10/27 • 05/12/27
Cross-District Collaboration Forums (Tri-Annual, virtual, 90 minutes)	Create your district’s AI roadmap and action steps — plans, rubrics, competencies, pilot results — and get feedback from peers and AI education experts.	Walk away with an adaptive AI-roadmap that covers procurement, professional learning, and stakeholder engagement.	4 p.m.–5:30 p.m. PT • 10/07/26 • 02/03/27 • 05/05/27
District Specific Strategy Sessions (Every other month)	Get support to implement your district’s AI roadmap: professional learning with disciplinary leads, stakeholder engagement, competency tools, integration in STEM learning, etc.	Boost confidence and classroom impact while moving away from ad-hoc implementation.	Scheduled individually by district leadership with The Lawrence team.
AI-Luminate Advisory Roundtables (Semi-Annual, virtual, 60 minutes)	Gather with AI and AI education thought leaders to shape your district’s AI strategy.	Tap directly into cutting-edge insights to vet tools, anticipate risks, and secure partnerships.	11 a.m.–12 p.m. PT • 09/10/2026 • 04/29/2027

Join a Community of Leaders for AI Literacy

For more information, contact: k12science@berkeley.edu

Meet Our Team

Vanessa Lujan, Ph.D.

AI K-12 Network co-Director; Director, Center for K-12 Systems, STEM Leadership, and Equity

Vanessa brings deep expertise in K-12 STEM systems change, equity-centered leadership, and professional learning that helps districts bridge from vision to classroom practice. Her work focuses on building district capacity for STEM education while advancing learning environments where all students can see themselves as capable STEM thinkers and problem solvers.

Crystal Menzies, Ph.D.

Equity Research & Learning Systems Lead

Dr. Crystal Menzies brings a scholar-practitioner perspective rooted in asset-based research, curriculum design, and professional learning to the AI K-12 Network team.

Eric Greenwald, Ph.D.

AI K-12 Network co-Director; Learning Sciences Researcher

Eric Greenwald, PhD, leads projects that advance research, learning design, and systems change at the intersection of science, math, computational thinking, and AI. In particular, he studies how learning can be designed toward a more robust and equitable socio-technical understanding of AI systems that better positions learners for criticality and agency in a world we are increasingly living together with AI.

Diana Vélez

Professional Learning & Equity Specialist

Diana Vélez is a professional learning specialist and curriculum developer. Her area of expertise is equity in science teaching and learning and content integration. For the AI K-12 Network, Diana brings her many years of experience working with district leadership teams to co-design equitable, robust, and practical improvement plans.

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Sarah Pedemonte

Bay Area Science Project Director; Science Teaching & Learning Specialist

Ms. Pedemonte brings many years of experience working with district leadership teams to examine STEM pathways and student learning experiences, opportunities, and outcomes. Her expertise is in supporting pre-service and in-service K-12 educators and leaders to build agency and capacity to support systems change in STEM.